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DBMS > Kdb vs. LevelDB vs. OpenEdge vs. Sequoiadb vs. Teradata

System Properties Comparison Kdb vs. LevelDB vs. OpenEdge vs. Sequoiadb vs. Teradata

Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonSequoiadb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesApplication development environment with integrated database management systemNewSQL database with distributed OLTP and SQLA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMS
Vector DBMS
Key-value storeRelational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitekx.comgithub.com/­google/­leveldbwww.progress.com/­openedgewww.sequoiadb.comwww.teradata.com
Technical documentationcode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.teradata.com
DeveloperKx Systems, a division of First Derivatives plcGoogleProgress Software CorporationSequoiadb Ltd.Teradata
Initial release2000 infokdb was released 2000, kdb+ in 20032011198420131984
Current release3.6, May 20181.23, February 2021OpenEdge 12.2, March 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoBSDcommercialOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linuxhosted
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regexyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnoyesnoyes
Secondary indexesyes infotable attribute 'grouped'noyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (q)noyes infoclose to SQL 92SQL-like query languageyes infoSQL 2016 + extensions
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
proprietary protocol using JSON.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Progress proprietary ABL (Advanced Business Language).Net
C++
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyesJavaScriptyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infowith viewsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioning infosince Version 11.4ShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlrights management via user accountsnoUsers and groupssimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
KdbLevelDBOpenEdgeSequoiadbTeradata
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
KdbLevelDBOpenEdgeSequoiadbTeradata
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